Preprints
https://doi.org/10.5194/essd-2020-328
https://doi.org/10.5194/essd-2020-328

  23 Nov 2020

23 Nov 2020

Review status: this preprint is currently under review for the journal ESSD.

African Anthropogenic Emissions Inventory for gases and particles from 1990 to 2015

Sekou Keita1, Catherine Liousse2, Eric-Michel Assamoi3, Thierno Doumbia2, N’Datchoh Evelyne Touré3, Sylvain Gnamien3, Nellie Elguindi2, Claire Granier2,4, and Véronique Yoboué3 Sekou Keita et al.
  • 1Université Péléforo Gon Coulibaly de Korhogo, UFR Sciences Biologiques, Département Math-Physique-Chimie, BP 1328 Korhogo, Côte d’Ivoire
  • 2Laboratoire d'Aérologie, Université Paul Sabatier Toulouse III CNRS, France
  • 3Université Félix Houphouët-Boigny, LAPA-MF, BPV34, Abidjan 01, Côte D'Ivoire
  • 4NOAA Chemical Sciences Laboratory - CIRES/University of Colorado, Boulder, CO, USA

Abstract. There are very few African regional inventories providing biofuel and fossil fuel emissions. Within the framework of the DACCIWA project, we have developed an African regional anthropogenic emission inventory including the main African polluting sources (wood and charcoal burning, charcoal making, truck, car, buses and two wheels vehicles, open waste burning and flaring). To this end, a database on fuel consumption and emission factors specific to Africa was established, using the most recent measurements. New spatial proxies (road network, power plant geographical coordinates) were used to convert national emissions into gridded inventories at a 0.1° × 0.1° spatial resolution. This inventory includes carbonaceous particles (black and organic carbon) and gaseous species (CO, NOx, SO2 and NMVOC) for the period 1990–2015 with a yearly temporal resolution. We show that all pollutant emissions are globally increasing in Africa during the period 1990–2015 with a growth rate of 95 %, 86 %, 113 %, 112 %, 97 %, and 130 % for BC, OC, NOx, CO, SO2 and NMVOC, respectively. We also show that West Africa is the highest emitting region of BC, OC, CO and NMVOC, followed by East Africa, largely due to domestic fire and traffic activities, while Southern Africa and Northern Africa are the highest emitting regions of SO2 and NOx due to industrial and power plant sources. Emissions from this inventory are compared to other regional and global inventories and its uncertainties are quantified by a Monte Carlo simulation. Finally, this inventory highlights key pollutant emission sectors in which mitigation scenarios should focus on. The DACCIWA inventory (https://doi.org/10.25326/56, Keita et al., 2017) including the annual gridded emission inventory for Africa for the period 1990–2015 are distributed from the Emissions of atmospheric Compounds and Compilation of Ancillary Data (ECCAD) system (https://eccad.aeris-data.fr/). For review purposes, ECCAD has set up an anonymous repository where subsets of the DACCIWA data can be accessed directly https://www7.obs-mip.fr/eccad/essd-surf-emis-dacciwa/.

Sekou Keita et al.

 
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Sekou Keita et al.

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African Anthropogenic Emissions Inventory for gases and particles from 1990 to 2015, DACCIWA Sekou Keita, Catherine Liousse, Eric-Michel Assamoi, Thierno Doumbia, N'Datchoh Evelyne Toure, Gnamien Silvain, Nellie Elguindi, Claire Granier, and Véronique Yoboué https://doi.org/10.25326/56

Sekou Keita et al.

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Short summary
This inventory fills the gap in African regional inventories providing biofuel and fossil fuel emissions that take into account African specificities. It could be used for air quality modelling. We show that all pollutant emissions are globally increasing during the period 1990–2015. Also, West Africa and East Africa emissions are largely due to domestic fire and traffic activities, while Southern Africa and Northern Africa emissions are largely due to industrial and power plant sources.